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Nikolaos Vasiloglou Email & Phone Number

VP of Research ML @RelationalAI at RelationalAI
Location: Atlanta, Georgia, United States 25 work roles 3 schools
1 work email found @ieee.org 1 phone found area 404 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Current company
Role
VP of Research ML @RelationalAI
Location
Atlanta, Georgia, United States

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Quick answer

Nikolaos Vasiloglou is listed as VP of Research ML @RelationalAI at RelationalAI, based in Atlanta, Georgia, United States. AeroLeads shows a work email signal at ieee.org, phone signal with area code 404, and a matched LinkedIn profile for Nikolaos Vasiloglou.

Nikolaos Vasiloglou previously worked as Vice President of Research ML at Relationalai and VP of Data Science at Relationalai. Nikolaos Vasiloglou holds Phd, Electrical And Computer Engineering from Georgia Institute Of Technology.

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Email format at RelationalAI

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Profile bio

About Nikolaos Vasiloglou

I am my library https://nvasil.libib.com/I have spent the last 15 years very close to the advances of Artificial Intelligence, participating in the best AI conferences (NrIPS, ICML, ICLR, UAI) as a PC member and workshop organizer, while at the same time transferring the knowledge to industrial-strength products. I enjoy building teams with junior data scientists and interns, mentoring them so that they can accelerate their career development. I have supervised tens of interns and Ph.D. students while developing actual platforms. I like working with people who are not the best but who want to become the best. In the competitive world of hi-tech and startups, the best way to build talented teams is to grow them organically. Transforming software engineers, master students into data scientists, and helping students to shape their Ph.D. has been the most rewarding thing for me. While a lot of companies are struggling to go remote, I have been working remotely for my whole career. I know the pitfalls and how to avoid them.I have designed and implemented complicated machine learning platforms and models from scratch all the way to production. In the age of big digital garbage and incredible scientific noise in academic publications, my mission is to discover algorithms and techniques that make sense and work. Discovery is probably the easiest step but not enough. I spend time implementing what I find interesting. If you can code it then you own it!!In my spare time, I read quantum mechanics relativity and fractals/chaos theoryHere is my book amazon wishlist http://a.co/4yazemV

Listed skills include Machine Learning, Algorithms, Big Data, Hadoop, and 46 others.

Current workplace

Nikolaos Vasiloglou's current company

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RelationalAI
Relationalai
VP of Research ML @RelationalAI
AeroLeads page
25 roles · 15 years

Nikolaos Vasiloglou work experience

A career timeline built from the work history available for this profile.

Vice President Of Research Ml

Current

Berkeley, California, US

Aug 2021 - Present

Vp Of Data Science

Berkeley, California, US

RelationalAI is building one of a kind knowledge graph management system. You can think of it as a database with auto-differentiation and logical reasoning as first-class citizens. In this journey, I have been leading the data science team on multi-million projects related to traditional data science (Kaggle stack), as well as to natural language.

Apr 2018 - Aug 2021

Co-Founder

Current

Atlanta, Georgia, US

Datawise develops large-scale custom data-driven applications. We follow the camel startup model when it comes to funding our products.

Apr 2017 - Present

Board Member

Athens, GR

Helping in the design and go-to-market strategy of Anymeets, a platform for organizing conferences.

Jun 2017 - Feb 2024

Director Of Artificial Intelligence

Palo Alto, CA, US

I am working on the next generation of conversational AI systems for the service desk and customer support industry.Aisera offers the world’s first AI-driven service experience solution that automates operations and support for IT, Sales, and customer service, making businesses and customers successful by offering consumer-like self-service resolutions to.

Nov 2020 - Aug 2021

Founder

Atlanta, Georgia, US

MLTrain is an organization that offers training for professionals and practitioners in Artificial Intelligence. The team has offered training in the US, Europe, Africa, and Australia. We have been the first to teach tensorflow and other domains like probabilistic programming.www.mltrain.cc

Jan 2016 - Jan 2021

Technical Director (Center For Advanced Machine Learning)

San Jose, California, US

-- Developed several patents-- Did a lot of training in the engineering groups about machine learning theory and coding (tensorflow)-- Supervised several interns-- Worked on the development of algorithms for email spam and targeted attacks

Jan 2015 - Jun 2018

Executive Education Faculty

Atlanta, Georgia, US

Helped in the design of the program and gave Lectures for the executive education programs on Leveraging the power of data

May 2016 - May 2018

Machine Learning Lead @Logicblox (Acquired By Infor)

Atlanta, GA, US

I am expanding and maintaining the machine learning engine. I have helped LogicBlox extend the datalog language for expressing machine learning algorithms, so that it is easy to scale software development operations. Also working on problems such as Entity Resolution and probabilistic programming (part of the DARPA PPAML initiative) for easier machine.

Feb 2009 - Mar 2018

Technical Chair For The Mlconf Workshops

San Francisco, California, US

As the former technical chair and co-organizer of the MLconf workshops I assisted in forming the agenda and theme of each MLConf workshop (www.mlconf.com). My key function was the quality control of the speakers at the conferences. My duties included inviting speakers from industry and academia who work on trendy and practical machine learning problems.

Aug 2012 - Jan 2017

Machine Learning Specialist

New York, New York, US

-- Worked on an interesting mobile advertising problem-- Helped building the data science team-- Worked on the development of the device graph and introduced some machine learning algorithms.

Apr 2013 - Aug 2016

Ceo

Developing and maintaining a large scale machine learning library. Working on asynchronous parallelization with Graphlab, Erlang. Integration with R is in the future plans

Oct 2010 - Oct 2015

Machine Learning Advisor

Atlanta, GA, US

Feb 2014 - May 2015

Machine Learning Researcher

Atlanta, GA, US

Developed machine learning models for botnet detection. Helped the team understand state of the art algorithms in graph mining. Developed algorithms for detecting DGA bots. Published 2 papers and 2 patents and helped develop a production systems that has discovered before anyone else new threats.The papers have received hundreds of citations and are still.

Sep 2010 - Apr 2014

Big Data Advisory Board

Woodbridge Township, New Jersey, US

Apr 2012 - Apr 2013

Business Partner

Alpharetta, GA, US

I did an evaluation of the ECL language of the HPCC LexisNexis platform on the development of machine learning algorithms and suggested extensions. Contributed on the open source ecl-ml library. Integrated the Ismion Paperboat library and paved the way for opening and integrating other libraries by setting the paradigm. Member of the advisory board and.

2011 - Apr 2013

Machine Learning Consultant

Predictix

I am using the LogicBlox machine learning engine to model large scale retail problems. I have used successfully the Ismion Paperboat library for supporting a forecasting engine for big retailers, scaling to millions of SKUs. Also developed novel methods for discovering substitute products, that lead to a patent.

May 2011 - May 2012

Algorithms Consultant

Mountain View, California, US

Confidential. Contributed code to their code engine

Sep 2011 - Feb 2012

Founder And Cto

Atlanta, GA, US

Lead the development team of the machine learning product and successfully deployed it. The Analytics 1305 library was the successor of the open source MLPACK library and the predecessor of Ismion Paperboat and SkyTree server

Mar 2009 - Sep 2010

Research Software Engineer

Optimizing mobile ad campaigns

Nov 2007 - Apr 2008

Software Intern

Mountain View, CA, US

Audio Fingerprinting Development

May 2006 - Jul 2006

Software Intern

Mountain View, CA, US

Google video commercial removal

Jun 2004 - Sep 2004

Research Intern

Houston, Texas, US

Nonlinearities on speech

May 2002 - Aug 2002
3 education records

Nikolaos Vasiloglou education

Phd, Electrical And Computer Engineering

Georgia Institute Of Technology

Msc, Electrical And Computer Engineering

Georgia Institute Of Technology

Bachelors, Electrical And Computer Engineering

National Technical University Of Athens
FAQ

Frequently asked questions about Nikolaos Vasiloglou

Quick answers generated from the profile data available on this page.

What company does Nikolaos Vasiloglou work for?

Nikolaos Vasiloglou works for RelationalAI.

What is Nikolaos Vasiloglou's role at RelationalAI?

Nikolaos Vasiloglou is listed as VP of Research ML @RelationalAI at RelationalAI.

What is Nikolaos Vasiloglou's email address?

AeroLeads has found 1 work email signal at @ieee.org for Nikolaos Vasiloglou at RelationalAI.

What is Nikolaos Vasiloglou's phone number?

AeroLeads has found 1 phone signal(s) with area code 404 for Nikolaos Vasiloglou at RelationalAI.

Where is Nikolaos Vasiloglou based?

Nikolaos Vasiloglou is based in Atlanta, Georgia, United States while working with RelationalAI.

What companies has Nikolaos Vasiloglou worked for?

Nikolaos Vasiloglou has worked for Relationalai, Datawise Data Engineering Llc, Anymeets, Aisera, and Mltrain.

How can I contact Nikolaos Vasiloglou?

You can use AeroLeads to view verified contact signals for Nikolaos Vasiloglou at RelationalAI, including work email, phone, and LinkedIn data when available.

What schools did Nikolaos Vasiloglou attend?

Nikolaos Vasiloglou holds Phd, Electrical And Computer Engineering from Georgia Institute Of Technology.

What skills is Nikolaos Vasiloglou known for?

Nikolaos Vasiloglou is listed with skills including Machine Learning, Algorithms, Big Data, Hadoop, Artificial Intelligence, Distributed Systems, R, and Optimization.

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